See PAJU, PASEMP, PABOSS, PAMNGR, PASOC*, PASEG, PAGOLD, PAISCON, PA1JUKSOC*, PAJLCBSOC* (The same information about mothers are in variable names starting with M instead of P)
See PAJU, PASEMP, PABOSS, PAMNGR, PASOC*, PASEG, PAGOLD, PAISCON, PA1JUKSOC*, PAJLCBSOC* (The same information about mothers are in variable names starting with M instead of P)
Derived variable note:
Uses BW_PARGSC on data file BW_INDRESP/
Value label
Value
Absolute frequency
Relative frequency
inapplicable
-8
13238
91.81%
proxy
-7
965
6.69%
refusal
-2
5
0.03%
Professional occ
1
20
0.14%
Managerial & technic
2
55
0.38%
Skilled non-manual
3
18
0.12%
Skilled manual
4
81
0.56%
Partly skilled occ
5
24
0.17%
Unskilled occ
6
11
0.08%
Armed forces
7
2
0.01%
Total
14419
100.0%
Value label
Value
Absolute frequency
Relative frequency
inapplicable
-8
13640
91.71%
proxy
-7
948
6.37%
refusal
-2
4
0.03%
don't know
-1
1
0.01%
Professional occ
1
23
0.15%
Managerial & technic
2
71
0.48%
Skilled non-manual
3
31
0.21%
Skilled manual
4
106
0.71%
Partly skilled occ
5
29
0.19%
Unskilled occ
6
18
0.12%
Armed forces
7
2
0.01%
Total
14873
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
2
0.01%
inapplicable
-8
14068
91.4%
proxy
-7
977
6.35%
refusal
-2
15
0.1%
Professional occ
1
24
0.16%
Managerial & technic
2
97
0.63%
Skilled non-manual
3
34
0.22%
Skilled manual
4
126
0.82%
Partly skilled occ
5
28
0.18%
Unskilled occ
6
16
0.1%
Armed forces
7
5
0.03%
Total
15392
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
47
0.3%
inapplicable
-8
14245
91.21%
proxy
-7
982
6.29%
Professional occ
1
24
0.15%
Managerial & technic
2
94
0.6%
Skilled non-manual
3
38
0.24%
Skilled manual
4
120
0.77%
Partly skilled occ
5
43
0.28%
Unskilled occ
6
16
0.1%
Armed forces
7
8
0.05%
Total
15617
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
32
0.2%
inapplicable
-8
14424
91.34%
proxy
-7
1014
6.42%
Professional occ
1
28
0.18%
Managerial & technic
2
88
0.56%
Skilled non-manual
3
22
0.14%
Skilled manual
4
125
0.79%
Partly skilled occ
5
33
0.21%
Unskilled occ
6
22
0.14%
Armed forces
7
3
0.02%
Total
15791
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
21
0.13%
inapplicable
-8
14903
91.78%
proxy
-7
891
5.49%
Professional occ
1
36
0.22%
Managerial & technic
2
124
0.76%
Skilled non-manual
3
34
0.21%
Skilled manual
4
147
0.91%
Partly skilled occ
5
59
0.36%
Unskilled occ
6
18
0.11%
Armed forces
7
5
0.03%
Total
16238
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
30
0.18%
inapplicable
-8
15255
91.91%
proxy
-7
889
5.36%
Professional occ
1
25
0.15%
Managerial & technic
2
127
0.77%
Skilled non-manual
3
43
0.26%
Skilled manual
4
142
0.86%
Partly skilled occ
5
59
0.36%
Unskilled occ
6
22
0.13%
Armed forces
7
5
0.03%
Total
16597
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
62
0.33%
inapplicable
-8
14779
78.33%
proxy
-7
801
4.25%
Professional occ
1
123
0.65%
Managerial & technic
2
911
4.83%
Skilled non-manual
3
252
1.34%
Skilled manual
4
1144
6.06%
Partly skilled occ
5
455
2.41%
Unskilled occ
6
302
1.6%
Armed forces
7
38
0.2%
Total
18867
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
58
0.37%
inapplicable
-8
14157
90.73%
proxy
-7
522
3.35%
Professional occ
1
59
0.38%
Managerial & technic
2
200
1.28%
Skilled non-manual
3
58
0.37%
Skilled manual
4
365
2.34%
Partly skilled occ
5
126
0.81%
Unskilled occ
6
48
0.31%
Armed forces
7
10
0.06%
Total
15603
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
204
1.31%
inapplicable
-8
10701
68.5%
proxy
-7
435
2.78%
Professional occ
1
213
1.36%
Managerial & technic
2
894
5.72%
Skilled non-manual
3
349
2.23%
Skilled manual
4
1735
11.11%
Partly skilled occ
5
746
4.78%
Unskilled occ
6
282
1.81%
Armed forces
7
64
0.41%
Total
15623
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
1
0.01%
inapplicable
-8
8298
76.09%
proxy
-7
358
3.28%
Professional occ
1
115
1.05%
Managerial & technic
2
479
4.39%
Skilled non-manual
3
153
1.4%
Skilled manual
4
964
8.84%
Partly skilled occ
5
358
3.28%
Unskilled occ
6
137
1.26%
Armed forces
7
43
0.39%
Total
10906
100.0%
Value label
Value
Absolute frequency
Relative frequency
missing
-9
37
0.36%
inapplicable
-8
1174
11.44%
proxy
-7
352
3.43%
Professional occ
1
426
4.15%
Managerial & technical occ
2
1804
17.58%
Skilled non-manual
3
770
7.5%
Skilled manual
4
3788
36.91%
Partly skilled occ
5
1325
12.91%
Unskilled occ
6
424
4.13%
Armed forces
7
164
1.6%
Total
10264
100.0%
Value label
Value
Absolute frequency
Relative frequency
no data from ukhls
-21
123936
74.12%
missing
-9
19807
11.85%
Professional occ
1
1280
0.77%
Managerial & technical occ
2
5582
3.34%
Skilled non-manual
3
1982
1.19%
Skilled manual
4
9420
5.63%
Partly skilled occ
5
3500
2.09%
Unskilled occ
6
1352
0.81%
Armed forces
7
349
0.21%
Total
167208
100.0%
Code creator
0
Create your own Stata code to extract data from the main end user licence Understanding Society dataset. Find out more
Saved variables
Code creator
Create your own Stata code to extract data from the main end user licence Understanding Society dataset.
Save your variables
Click Build data file to generate your code.
The code will allow you to create your own data file containing just your variable selection, plus a handy set of commonly used sociodemographic variables and cross-sectional and longitudinal weight variables.
The Economic and Social Research Council is the primary funder of the study
The Study is led by a team at the Institute for Social and Economic Research (ISER) at the University of Essex.
